Sep 11, 2024 · We discuss a theoretical analysis of the nineteen-order convergence of the proposed tensor-based iterative method. Further, we design effective ...
Sep 11, 2024 · We discuss a theoretical analysis of the nineteen-order convergence of the proposed tensor-based iterative method. Further, we design effective ...
Sep 12, 2024 · In this paper, we compute outer inverses with prescribed ranges and kernels of a given tensor through tensor QR decomposition and hyperpower iterative method.
Sep 10, 2024 · This paper introduces notions of the Drazin and core-EP inverses on tensors via M-product. We propose a few properties of the Drazin and core-EP inverses of ...
In this paper, we propose new iterative schemes for the computation of outer inverse which reduce the total number of matrix multiplications per iteration.
Feb 15, 2022 · This paper proposes an algorithm based on the Shultz iterative method and divided differences to find the roots of nonlinear equations.
Panigrahy, J. K. Sahoo, and Y. Wei, M-QR decomposition and hyperpower iterative methods for computing outer inverses of tensors. B. Sitha, R. Behera, ...
Panigrahy, J.K. Sahoo, Y. Wei, M-QR decomposition and hyperpower iterative methods for computing outer inverses of tensors, arXiv preprint, 2024. Behera, ...
Jul 18, 2018 · New representations and characterizations of the outer inverse of Tensors through QR decomposition are introduced and an effective algorithm ...
In this paper, we propose a new hyperpower iterative method for approximating the weighted Moore-Penrose inverse of a given matrix.
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